About

I’m a fourth-year Ph.D student at UC Berkeley advised by Prof. Philip Marcus, with affiliations with the Data Analytics group at NERSC, Lawrence Berkeley National Lab. My research interest is in Machine Learning and Deep Learning techniques, applied to 3D geometry. In particular, I am interested in leveraging advances in 3D learning for applications in a variety of physical and engineering systems, examples include omnidirectional image segmentation, climate pattern detection and aerodynamical shape optimization.

News

My work on Spherical CNNs on Unstructred Grids has been chosen for an oral presentation at the AGU (Americal Geophysics Union).

I am interning this summer at the Data Analytics group in NERSC, Lawrence Berkeley National Labratory, working with Prabhat and Karthik Karshinath on new Deep Learning methodologies for Climate Science.